Relative Entropy Sorting Method Based on the Preference Information of Alternative
Yi Yang, Bizhan Lian, Shiwen Wang, Jianwei Gao · Advances in engineering research/Advances in Engineering Research · 2014
Multiple attribute decision making (MADM) problems are to find a desirable solution from a finite number of feasible alternatives assessed on multiple attributes, both quantitative and qualitative.In the recent years, MADM has received a great deal of attention from researchers.This paper studies the multi-attribute decisionmaking problem of power communication resources investment, where both the attributes values of the alternatives and the subjective preference information of the alternatives are interval values.We provide a decisionmaking approach based on the distance of relative entropy.In addition, for the attributes weights are completely unknown or partially known, we calculate them by establishing the optimization model based on the minimization deviation of subjective and objective information.The deviation between subjective assessment and objective information is determined based on the distance of relative entropy.Furthermore, the order of the solutions is determined by the relative entropy distances from objective and subjective preferences of each solution.Finally, an example is illustrated to examine the effective of our method.